org.apache.spark.ml.util

Interface MLWritable

All Known Implementing Classes:

AFTSurvivalRegressionModel, ALSModel, BisectingKMeansModel, ChiSqSelectorModel, ColumnPruner, CountVectorizerModel, CrossValidator, CrossValidatorModel, DecisionTreeClassificationModel, DecisionTreeRegressionModel, DistributedLDAModel, GaussianMixtureModel, GBTClassificationModel, GBTRegressionModel, GeneralizedLinearRegressionModel, IDFModel, IsotonicRegressionModel, KMeansModel, LDAModel, LinearRegressionModel, LocalLDAModel, LogisticRegressionModel, MaxAbsScalerModel, MinMaxScalerModel, MultilayerPerceptronClassificationModel, NaiveBayesModel, OneVsRest, OneVsRestModel, PCAModel, Pipeline, PipelineModel, RandomForestClassificationModel, RandomForestRegressionModel, RFormulaModel, StandardScalerModel, StringIndexerModel, TrainValidationSplit, TrainValidationSplitModel, VectorAttributeRewriter, VectorIndexerModel, Word2VecModel

public interface MLWritable

Trait for classes that provide MLWriter.

Method Summary

Methods

Modifier and Type	Method and Description
void	save(java.lang.String path) Saves this ML instance to the input path, a shortcut of write.save(path).
MLWriter	write() Returns an MLWriter instance for this ML instance.

Method Detail

write

MLWriter write()

Returns an MLWriter instance for this ML instance.

Returns:

(undocumented)

save

void save(java.lang.String path)
          throws java.io.IOException

Saves this ML instance to the input path, a shortcut of write.save(path).

Parameters:

path - (undocumented)

Throws:

java.io.IOException